SQL Server/T-SQL Tutorial/Query/Logical operator

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A compound condition without parentheses

4>
5>
6>
7> create table Billings (
8>     BankerID           INTEGER,
9>     BillingNumber      INTEGER,
10>     BillingDate        datetime,
11>     BillingTotal       INTEGER,
12>     TermsID            INTEGER,
13>     BillingDueDate     datetime ,
14>     PaymentTotal       INTEGER,
15>     CreditTotal        INTEGER
16>
17> );
18> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2>
3> select * from Billings WHERE BillingDate > "05/01/2002"
4>     OR BillingTotal > 500
5>     AND BillingTotal - PaymentTotal - CreditTotal > 0
6> GO
BankerID    BillingNumber BillingDate             BillingTotal TermsID     BillingDueDate          PaymentTotal CreditTotal
----------- ------------- ----------------------- ------------ ----------- ----------------------- ------------ -----------
          1             1 2005-01-22 00:00:00.000          165           1 2005-04-22 00:00:00.000          123         321
          3             3 2003-05-02 00:00:00.000          165           1 2005-04-12 00:00:00.000          123         321
          7             7 2002-07-15 00:00:00.000          165           1 2005-04-19 00:00:00.000          123         321
          8             8 2003-08-16 00:00:00.000          165           1 2005-04-20 00:00:00.000          123         321
          9             9 2004-09-17 00:00:00.000          165           1 2005-04-21 00:00:00.000          123         321
          0             0 2005-10-18 00:00:00.000          165           1 2005-04-22 00:00:00.000          123         321
(6 rows affected)
1>
2> drop table Billings;
3> GO
1>


AND, OR without parenthesis

5> CREATE TABLE authors(
6>    au_id          varchar(11),
7>    au_lname       varchar(40)       NOT NULL,
8>    au_fname       varchar(20)       NOT NULL,
9>    phone          char(12)          NOT NULL DEFAULT ("UNKNOWN"),
10>    address        varchar(40)           NULL,
11>    city           varchar(20)           NULL,
12>    state          char(2)               NULL,
13>    zip            char(5)               NULL,
14>    contract       bit               NOT NULL
15> )
16> GO
1> insert authors values("1",  "Joe",   "Abra",   "111 111-1111", "6 St.", "Berkeley",  "CA", "11111", 1)
2> insert authors values("2",  "Jack",  "Majo",   "222 222-2222", "3 St.", "Oakland" ,  "CA", "22222", 1)
3> insert authors values("3",  "Pink",  "Cherry", "333 333-3333", "5 Ln.", "Vancouver", "BC", "33333", 1)
4> insert authors values("4",  "Blue",  "Albert", "444 444-4444", "7 Av.", "Vancouver", "BC", "44444", 1)
5> insert authors values("5",  "Red",   "Anne",   "555 555-5555", "6 Av.", "Regina",    "SK", "55555", 1)
6> insert authors values("6",  "Black", "Michel", "666 666-6666", "3 Pl.", "Regina",    "SK", "66666", 1)
7> insert authors values("7",  "White", "Sylvia", "777 777-7777", "1 Pl.", "Rockville", "MD", "77777", 1)
8> insert authors values("8",  "Yellow","Heather","888 888-8888", "3 Pu",  "Vacaville", "CA", "88888", 0)
9> insert authors values("9",  "Gold",  "Dep",    "999 999-9999", "5 Av.", "Oakland",   "CA", "99999", 0)
10> insert authors values("10", "Siler", "Dean",   "000 000-0000", "4 Av.", "Oakland",   "CA", "00000", 1)
11> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3>
4> SELECT au_lname, au_fname, city, state FROM authors
5> WHERE
6> city <> "OAKLAND" AND state <> "CA"
7> OR
8> city <> "Salt Lake City" AND state <> "UT"
9> GO
au_lname                                 au_fname             city                 state
---------------------------------------- -------------------- -------------------- -----
Joe                                      Abra                 Berkeley             CA
Jack                                     Majo                 Oakland              CA
Pink                                     Cherry               Vancouver            BC
Blue                                     Albert               Vancouver            BC
Red                                      Anne                 Regina               SK
Black                                    Michel               Regina               SK
White                                    Sylvia               Rockville            MD
Yellow                                   Heather              Vacaville            CA
Gold                                     Dep                  Oakland              CA
Siler                                    Dean                 Oakland              CA
(10 rows affected)
1>
2> drop table authors;
3> GO


And with parenthesis

2>
3> CREATE TABLE authors(
4>    au_id          varchar(11),
5>    au_lname       varchar(40)       NOT NULL,
6>    au_fname       varchar(20)       NOT NULL,
7>    phone          char(12)          NOT NULL DEFAULT ("UNKNOWN"),
8>    address        varchar(40)           NULL,
9>    city           varchar(20)           NULL,
10>    state          char(2)               NULL,
11>    zip            char(5)               NULL,
12>    contract       bit               NOT NULL
13> )
14> GO
1> insert authors values("1",  "Joe",   "Abra",   "111 111-1111", "6 St.", "Berkeley",  "CA", "11111", 1)
2> insert authors values("2",  "Jack",  "Majo",   "222 222-2222", "3 St.", "Oakland" ,  "CA", "22222", 1)
3> insert authors values("3",  "Pink",  "Cherry", "333 333-3333", "5 Ln.", "Vancouver", "BC", "33333", 1)
4> insert authors values("4",  "Blue",  "Albert", "444 444-4444", "7 Av.", "Vancouver", "BC", "44444", 1)
5> insert authors values("5",  "Red",   "Anne",   "555 555-5555", "6 Av.", "Regina",    "SK", "55555", 1)
6> insert authors values("6",  "Black", "Michel", "666 666-6666", "3 Pl.", "Regina",    "SK", "66666", 1)
7> insert authors values("7",  "White", "Sylvia", "777 777-7777", "1 Pl.", "Rockville", "MD", "77777", 1)
8> insert authors values("8",  "Yellow","Heather","888 888-8888", "3 Pu",  "Vacaville", "CA", "88888", 0)
9> insert authors values("9",  "Gold",  "Dep",    "999 999-9999", "5 Av.", "Oakland",   "CA", "99999", 0)
10> insert authors values("10", "Siler", "Dean",   "000 000-0000", "4 Av.", "Oakland",   "CA", "00000", 1)
11> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3>
4> SELECT au_lname, au_fname, city, state FROM authors
5> WHERE
6> (city <> "OAKLAND" AND state <> "CA")
7> AND
8> (city <> "Salt Lake City" AND state <> "UT")
9> GO
au_lname                                 au_fname             city                 state
---------------------------------------- -------------------- -------------------- -----
Pink                                     Cherry               Vancouver            BC
Blue                                     Albert               Vancouver            BC
Red                                      Anne                 Regina               SK
Black                                    Michel               Regina               SK
White                                    Sylvia               Rockville            MD
(5 rows affected)
1>
2> drop table authors;
3> GO


compound condition with parentheses

4>
5>
6>
7> create table Billings (
8>     BankerID           INTEGER,
9>     BillingNumber      INTEGER,
10>     BillingDate        datetime,
11>     BillingTotal       INTEGER,
12>     TermsID            INTEGER,
13>     BillingDueDate     datetime ,
14>     PaymentTotal       INTEGER,
15>     CreditTotal        INTEGER
16>
17> );
18> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2>
3> select * from Billings WHERE (BillingDate > "05/01/2002"
4>     OR BillingTotal > 500)
5>     AND BillingTotal - PaymentTotal - CreditTotal > 0
6> GO
BankerID    BillingNumber BillingDate             BillingTotal TermsID     BillingDueDate          PaymentTotal CreditTotal
----------- ------------- ----------------------- ------------ ----------- ----------------------- ------------ -----------
(0 rows affected)
1>
2> drop table Billings;
3> GO
1>


Not or

3> CREATE TABLE authors(
4>    au_id          varchar(11),
5>    au_lname       varchar(40)       NOT NULL,
6>    au_fname       varchar(20)       NOT NULL,
7>    phone          char(12)          NOT NULL DEFAULT ("UNKNOWN"),
8>    address        varchar(40)           NULL,
9>    city           varchar(20)           NULL,
10>    state          char(2)               NULL,
11>    zip            char(5)               NULL,
12>    contract       bit               NOT NULL
13> )
14> GO
1> insert authors values("1",  "Joe",   "Abra",   "111 111-1111", "6 St.", "Berkeley",  "CA", "11111", 1)
2> insert authors values("2",  "Jack",  "Majo",   "222 222-2222", "3 St.", "Oakland" ,  "CA", "22222", 1)
3> insert authors values("3",  "Pink",  "Cherry", "333 333-3333", "5 Ln.", "Vancouver", "BC", "33333", 1)
4> insert authors values("4",  "Blue",  "Albert", "444 444-4444", "7 Av.", "Vancouver", "BC", "44444", 1)
5> insert authors values("5",  "Red",   "Anne",   "555 555-5555", "6 Av.", "Regina",    "SK", "55555", 1)
6> insert authors values("6",  "Black", "Michel", "666 666-6666", "3 Pl.", "Regina",    "SK", "66666", 1)
7> insert authors values("7",  "White", "Sylvia", "777 777-7777", "1 Pl.", "Rockville", "MD", "77777", 1)
8> insert authors values("8",  "Yellow","Heather","888 888-8888", "3 Pu",  "Vacaville", "CA", "88888", 0)
9> insert authors values("9",  "Gold",  "Dep",    "999 999-9999", "5 Av.", "Oakland",   "CA", "99999", 0)
10> insert authors values("10", "Siler", "Dean",   "000 000-0000", "4 Av.", "Oakland",   "CA", "00000", 1)
11> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3>
4>
5> SELECT au_lname, au_fname, city, state FROM authors
6> WHERE
7> NOT
8> (
9> (city="OAKLAND" AND state="CA")
10> OR
11> (city="Salt Lake City" AND state="UT")
12> )
13> GO
au_lname                                 au_fname             city                 state
---------------------------------------- -------------------- -------------------- -----
Joe                                      Abra                 Berkeley             CA
Pink                                     Cherry               Vancouver            BC
Blue                                     Albert               Vancouver            BC
Red                                      Anne                 Regina               SK
Black                                    Michel               Regina               SK
White                                    Sylvia               Rockville            MD
Yellow                                   Heather              Vacaville            CA
(7 rows affected)
1>
2>
3> drop table authors;
4> GO
1>


parenthesis with AND, OR

3> CREATE TABLE authors(
4>    au_id          varchar(11),
5>    au_lname       varchar(40)       NOT NULL,
6>    au_fname       varchar(20)       NOT NULL,
7>    phone          char(12)          NOT NULL DEFAULT ("UNKNOWN"),
8>    address        varchar(40)           NULL,
9>    city           varchar(20)           NULL,
10>    state          char(2)               NULL,
11>    zip            char(5)               NULL,
12>    contract       bit               NOT NULL
13> )
14> GO
1> insert authors values("1",  "Joe",   "Abra",   "111 111-1111", "6 St.", "Berkeley",  "CA", "11111", 1)
2> insert authors values("2",  "Jack",  "Majo",   "222 222-2222", "3 St.", "Oakland" ,  "CA", "22222", 1)
3> insert authors values("3",  "Pink",  "Cherry", "333 333-3333", "5 Ln.", "Vancouver", "BC", "33333", 1)
4> insert authors values("4",  "Blue",  "Albert", "444 444-4444", "7 Av.", "Vancouver", "BC", "44444", 1)
5> insert authors values("5",  "Red",   "Anne",   "555 555-5555", "6 Av.", "Regina",    "SK", "55555", 1)
6> insert authors values("6",  "Black", "Michel", "666 666-6666", "3 Pl.", "Regina",    "SK", "66666", 1)
7> insert authors values("7",  "White", "Sylvia", "777 777-7777", "1 Pl.", "Rockville", "MD", "77777", 1)
8> insert authors values("8",  "Yellow","Heather","888 888-8888", "3 Pu",  "Vacaville", "CA", "88888", 0)
9> insert authors values("9",  "Gold",  "Dep",    "999 999-9999", "5 Av.", "Oakland",   "CA", "99999", 0)
10> insert authors values("10", "Siler", "Dean",   "000 000-0000", "4 Av.", "Oakland",   "CA", "00000", 1)
11> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3>
4> SELECT au_lname, au_fname, city, state FROM authors
5> WHERE
6> (city <> "OAKLAND" AND state <> "CA")
7> OR
8> (city <> "Salt Lake City" AND state <> "UT")
9> GO
au_lname                                 au_fname             city                 state
---------------------------------------- -------------------- -------------------- -----
Joe                                      Abra                 Berkeley             CA
Jack                                     Majo                 Oakland              CA
Pink                                     Cherry               Vancouver            BC
Blue                                     Albert               Vancouver            BC
Red                                      Anne                 Regina               SK
Black                                    Michel               Regina               SK
White                                    Sylvia               Rockville            MD
Yellow                                   Heather              Vacaville            CA
Gold                                     Dep                  Oakland              CA
Siler                                    Dean                 Oakland              CA
(10 rows affected)
1>
2>
3> drop table authors;
4> GO


SQL Server evaluates operators in this sequence: (1) NOT, (2) AND, and (3) OR.

3>
4>
5> create table Billings (
6>     BankerID           INTEGER,
7>     BillingNumber      INTEGER,
8>     BillingDate        datetime,
9>     BillingTotal       INTEGER,
10>     TermsID            INTEGER,
11>     BillingDueDate     datetime ,
12>     PaymentTotal       INTEGER,
13>     CreditTotal        INTEGER
14>
15> );
16> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2>
3> select * from Billings WHERE (BillingDate > "05/01/2002"
4>     OR BillingTotal > 500)
5>     AND BillingTotal - PaymentTotal - CreditTotal > 0
6> GO
BankerID    BillingNumber BillingDate             BillingTotal TermsID     BillingDueDate          PaymentTotal CreditTotal
----------- ------------- ----------------------- ------------ ----------- ----------------------- ------------ -----------
(0 rows affected)
1>
2> drop table Billings;
3> GO
1>


The syntax of the WHERE clause with logical operators

WHERE [NOT] search_condition_1 {AND|OR} [NOT] search_condition_2 ...


three Boolean operations have different priorities for evaluation:

the NOT operation has the highest priority,
AND is evaluated next, and
the OR operation has the lowest priority.
6>
7> CREATE TABLE employee(
8>    id          INTEGER NOT NULL PRIMARY KEY,
9>    first_name  VARCHAR(10),
10>    last_name   VARCHAR(10),
11>    salary      DECIMAL(10,2),
12>    start_Date  DATETIME,
13>    region      VARCHAR(10),
14>    city        VARCHAR(20),
15>    managerid   INTEGER
16> );
17> GO
1> INSERT INTO employee VALUES (1, "Jason" ,  "Martin", 5890,"2005-03-22","North","Vancouver",3);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (2, "Alison",  "Mathews",4789,"2003-07-21","South","Utown",4);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (3, "James" ,  "Smith",  6678,"2001-12-01","North","Paris",5);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (4, "Celia" ,  "Rice",   5567,"2006-03-03","South","London",6);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (5, "Robert",  "Black",  4467,"2004-07-02","East","Newton",7);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (6, "Linda" ,  "Green" , 6456,"2002-05-19","East","Calgary",8);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (7, "David" ,  "Larry",  5345,"2008-03-18","West","New York",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (8, "James" ,  "Cat",    4234,"2007-07-17","West","Regina",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (9, "Joan"  ,  "Act",    6123,"2001-04-16","North","Toronto",10);
2> GO
(1 rows affected)
1>
2> select * from employee;
3> GO
id          first_name last_name  salary       start_Date              region     city                 managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
          1 Jason      Martin          5890.00 2005-03-22 00:00:00.000 North      Vancouver                      3
          2 Alison     Mathews         4789.00 2003-07-21 00:00:00.000 South      Utown                          4
          3 James      Smith           6678.00 2001-12-01 00:00:00.000 North      Paris                          5
          4 Celia      Rice            5567.00 2006-03-03 00:00:00.000 South      London                         6
          5 Robert     Black           4467.00 2004-07-02 00:00:00.000 East       Newton                         7
          6 Linda      Green           6456.00 2002-05-19 00:00:00.000 East       Calgary                        8
          7 David      Larry           5345.00 2008-03-18 00:00:00.000 West       New York                       9
          8 James      Cat             4234.00 2007-07-17 00:00:00.000 West       Regina                         9
          9 Joan       Act             6123.00 2001-04-16 00:00:00.000 North      Toronto                       10
(9 rows affected)
1>
2>
3>
4> SELECT *
5>         FROM employee
6>         WHERE id = 2 AND first_name = "Smith"
7>         OR last_name = "Matthew" AND managerid = "1"
8> GO
id          first_name last_name  salary       start_Date              region     city                 managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
(0 rows affected)
1>
2>
3>
4> drop table employee;
5> GO


Use AND to link two conditions

4>
5> CREATE TABLE titles(
6>    title_id       varchar(20),
7>    title          varchar(80)       NOT NULL,
8>    type           char(12)          NOT NULL,
9>    pub_id         char(4)               NULL,
10>    price          money                 NULL,
11>    advance        money                 NULL,
12>    royalty        int                   NULL,
13>    ytd_sales      int                   NULL,
14>    notes          varchar(200)          NULL,
15>    pubdate        datetime          NOT NULL
16> )
17> GO
1>
2> insert titles values ("1", "Secrets",   "popular_comp", "1389", $20.00, $8000.00, 10, 4095,"Note 1","06/12/94")
3> insert titles values ("2", "The",       "business",     "1389", $19.99, $5000.00, 10, 4095,"Note 2","06/12/91")
4> insert titles values ("3", "Emotional", "psychology",   "0736", $7.99,  $4000.00, 10, 3336,"Note 3","06/12/91")
5> insert titles values ("4", "Prolonged", "psychology",   "0736", $19.99, $2000.00, 10, 4072,"Note 4","06/12/91")
6> insert titles values ("5", "With",      "business",     "1389", $11.95, $5000.00, 10, 3876,"Note 5","06/09/91")
7> insert titles values ("6", "Valley",    "mod_cook",     "0877", $19.99, $0.00,    12, 2032,"Note 6","06/09/91")
8> insert titles values ("7", "Any?",      "trad_cook",    "0877", $14.99, $8000.00, 10, 4095,"Note 7","06/12/91")
9> insert titles values ("8", "Fifty",     "trad_cook",    "0877", $11.95, $4000.00, 14, 1509,"Note 8","06/12/91")
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> CREATE TABLE titleauthor(
3>    au_id          varchar(20),
4>    title_id       varchar(20),
5>    au_ord         tinyint               NULL,
6>    royaltyper     int                   NULL
7> )
8> GO
1>
2> insert titleauthor values("1", "2", 1, 60)
3> insert titleauthor values("2", "3", 1, 100)
4> insert titleauthor values("3", "4", 1, 100)
5> insert titleauthor values("4", "5", 1, 100)
6> insert titleauthor values("5", "6", 1, 100)
7> insert titleauthor values("6", "7", 2, 40)
8> insert titleauthor values("7", "8", 1, 100)
9> insert titleauthor values("8", "9", 1, 100)
10> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> CREATE TABLE authors(
4>    au_id          varchar(11),
5>    au_lname       varchar(40)       NOT NULL,
6>    au_fname       varchar(20)       NOT NULL,
7>    phone          char(12)          NOT NULL DEFAULT ("UNKNOWN"),
8>    address        varchar(40)           NULL,
9>    city           varchar(20)           NULL,
10>    state          char(2)               NULL,
11>    zip            char(5)               NULL,
12>    contract       bit               NOT NULL
13> )
14> GO
1> insert authors values("1",  "Joe",   "Abra",   "111 111-1111", "6 St.", "Berkeley",  "CA", "11111", 1)
2> insert authors values("2",  "Jack",  "Majo",   "222 222-2222", "3 St.", "Oakland" ,  "CA", "22222", 1)
3> insert authors values("3",  "Pink",  "Cherry", "333 333-3333", "5 Ln.", "Vancouver", "BC", "33333", 1)
4> insert authors values("4",  "Blue",  "Albert", "444 444-4444", "7 Av.", "Vancouver", "BC", "44444", 1)
5> insert authors values("5",  "Red",   "Anne",   "555 555-5555", "6 Av.", "Regina",    "SK", "55555", 1)
6> insert authors values("6",  "Black", "Michel", "666 666-6666", "3 Pl.", "Regina",    "SK", "66666", 1)
7> insert authors values("7",  "White", "Sylvia", "777 777-7777", "1 Pl.", "Rockville", "MD", "77777", 1)
8> insert authors values("8",  "Yellow","Heather","888 888-8888", "3 Pu",  "Vacaville", "CA", "88888", 0)
9> insert authors values("9",  "Gold",  "Dep",    "999 999-9999", "5 Av.", "Oakland",   "CA", "99999", 0)
10> insert authors values("10", "Siler", "Dean",   "000 000-0000", "4 Av.", "Oakland",   "CA", "00000", 1)
11> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> CREATE VIEW titleview
3> AS
4> select title, au_ord, au_lname, price, ytd_sales, pub_id
5> from authors, titles, titleauthor
6> where authors.au_id = titleauthor.au_id
7>    AND titles.title_id = titleauthor.title_id
8>
9> GO
1>
2> drop table authors;
3> drop table titles;
4> drop table titleauthor;
5> GO
1>


Use OR to link two conditions

4> CREATE TABLE employee(
5>    id          INTEGER NOT NULL PRIMARY KEY,
6>    first_name  VARCHAR(10),
7>    last_name   VARCHAR(10),
8>    salary      DECIMAL(10,2),
9>    start_Date  DATETIME,
10>    region      VARCHAR(10),
11>    city        VARCHAR(20),
12>    managerid   INTEGER
13> );
14> GO
1> INSERT INTO employee VALUES (1, "Jason" ,  "Martin", 5890,"2005-03-22","North","Vancouver",3);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (2, "Alison",  "Mathews",4789,"2003-07-21","South","Utown",4);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (3, "James" ,  "Smith",  6678,"2001-12-01","North","Paris",5);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (4, "Celia" ,  "Rice",   5567,"2006-03-03","South","London",6);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (5, "Robert",  "Black",  4467,"2004-07-02","East","Newton",7);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (6, "Linda" ,  "Green" , 6456,"2002-05-19","East","Calgary",8);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (7, "David" ,  "Larry",  5345,"2008-03-18","West","New York",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (8, "James" ,  "Cat",    4234,"2007-07-17","West","Regina",9);
2> GO
(1 rows affected)
1> INSERT INTO employee VALUES (9, "Joan"  ,  "Act",    6123,"2001-04-16","North","Toronto",10);
2> GO
(1 rows affected)
1>
2> select * from employee;
3> GO
id          first_name last_name  salary       start_Date              region     city                 managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
          1 Jason      Martin          5890.00 2005-03-22 00:00:00.000 North      Vancouver                      3
          2 Alison     Mathews         4789.00 2003-07-21 00:00:00.000 South      Utown                          4
          3 James      Smith           6678.00 2001-12-01 00:00:00.000 North      Paris                          5
          4 Celia      Rice            5567.00 2006-03-03 00:00:00.000 South      London                         6
          5 Robert     Black           4467.00 2004-07-02 00:00:00.000 East       Newton                         7
          6 Linda      Green           6456.00 2002-05-19 00:00:00.000 East       Calgary                        8
          7 David      Larry           5345.00 2008-03-18 00:00:00.000 West       New York                       9
          8 James      Cat             4234.00 2007-07-17 00:00:00.000 West       Regina                         9
          9 Joan       Act             6123.00 2001-04-16 00:00:00.000 North      Toronto                       10
(9 rows affected)
1>
2>
3> SELECT *
4> FROM employee
5> WHERE salary < 100000 OR salary > 150000
6> GO
id          first_name last_name  salary       start_Date              region     city                 managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
          1 Jason      Martin          5890.00 2005-03-22 00:00:00.000 North      Vancouver                      3
          2 Alison     Mathews         4789.00 2003-07-21 00:00:00.000 South      Utown                          4
          3 James      Smith           6678.00 2001-12-01 00:00:00.000 North      Paris                          5
          4 Celia      Rice            5567.00 2006-03-03 00:00:00.000 South      London                         6
          5 Robert     Black           4467.00 2004-07-02 00:00:00.000 East       Newton                         7
          6 Linda      Green           6456.00 2002-05-19 00:00:00.000 East       Calgary                        8
          7 David      Larry           5345.00 2008-03-18 00:00:00.000 West       New York                       9
          8 James      Cat             4234.00 2007-07-17 00:00:00.000 West       Regina                         9
          9 Joan       Act             6123.00 2001-04-16 00:00:00.000 North      Toronto                       10
(9 rows affected)
1>
2> drop table employee;
3> GO
1>